code: def test_update(self):
      mean = np.ones(8)
      covariance = np.ones((8, 8))
      measurement = np.ones(4)
      score = 0.1
      mean, covariance = self.kf.update(
          mean, covariance, measurement, score
      )
      assert len(mean) == 8
      assert covariance.shape == (8, 8)
  
file_path: mmdetection/tests/test_models/test_task_modules/test_track/test_kalman_filter.py
imports: from unittest import TestCase
  import numpy
  from mmengine.registry import init_default_scope
  from mmdet.registry import TASK_UTILS
label_desc: Use image node_id 4 for calling the TestKalmanFilter obj's underlying member method code with example usage: obj.test_update() without return types